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X Demographics
Mendeley readers
Attention Score in Context
| Title |
What do we measure when we measure cell-associated HIV RNA
|
|---|---|
| Published in |
Retrovirology, January 2018
|
| DOI | 10.1186/s12977-018-0397-2 |
| Pubmed ID | |
| Authors |
Alexander O. Pasternak, Ben Berkhout |
| Abstract |
Cell-associated (CA) HIV RNA has received much attention in recent years as a surrogate measure of the efficiency of HIV latency reversion and because it may provide an estimate of the viral reservoir size. This review provides an update on some recent insights in the biology and clinical utility of this biomarker. We discuss a number of important considerations to be taken into account when interpreting CA HIV RNA measurements, as well as different methods to measure this biomarker. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 26% |
| Researcher | 16 | 17% |
| Student > Master | 9 | 9% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 7 | 7% |
| Other | 14 | 15% |
| Unknown | 17 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 24 | 25% |
| Biochemistry, Genetics and Molecular Biology | 15 | 16% |
| Agricultural and Biological Sciences | 15 | 16% |
| Medicine and Dentistry | 9 | 9% |
| Business, Management and Accounting | 1 | 1% |
| Other | 6 | 6% |
| Unknown | 25 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 February 2023.
All research outputs
#14,483,829
of 24,302,917 outputs
Outputs from Retrovirology
#644
of 1,134 outputs
Outputs of similar age
#229,457
of 449,534 outputs
Outputs of similar age from Retrovirology
#17
of 28 outputs
Altmetric has tracked 24,302,917 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,134 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 449,534 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.